Category: AWS Step Functions

Learn how to execute Monte Carlo Simulations and Machine Learning data processing at any scale with AWS Step Functions Distributed Map and AWS Lambda. Organizations across the financial services industry including those providing insurance products rely on Monte Carlo simulations and machine learning feature engineering processes for product development and risk analysis. These processes often […]

Introduction In “Your Telecom Cloud Journey on AWS: Part 1 – Establishing a Foundation” and “Accelerating Your Telecom Cloud Journey: A Technical Roadmap with AWS” we covered the transformation journey that many Telcos are embarking on when running complex and critical Telco workloads on AWS. Once a cloud foundation is established and workloads are running […]

The global utilities industry is undergoing a major transformation today. According to Gentrack, which provides software and services for the global utilities sector, utilities are facing growing pressure to reduce costs, become more profitable, and offer a better customer experience. At the same time, smart meters are rolling out worldwide, frequently recording and sending electricity […]

Life insurance underwriting is poised for significant transformation, driven by increasing customer expectations and enabled by the growing sophistication of technologies like data analytics, wearables, artificial intelligence (AI), and Generative AI. Modern insurers are leveraging these technologies to optimize their end-to-end underwriting processes. This article discusses the opportunity space and how AWS services facilitate substantial […]

In the rapidly evolving field of healthcare, leveraging generative AI has the potential to revolutionize patient care and streamline clinical processes. However, orchestrating these complex workflows while ensuring data security and compliance with regulations, such as HIPAA, can be challenging. A common pattern involves starting with the source data, choosing a generative AI model, and […]

Background: Energy companies are seeking methods to run engineering software in the cloud, especially those that need a significant amount of computing and storage resources in short periods of time to bring about simulation capacity instantaneously and reduce project turnaround (for example, Florida-based utility runs PROMOD, Siemens Simcenter customers run CFD, Ansys LS-DYNA customers run […]

Introduction The utilities sector provides essential services to our homes, businesses, and communities. As the world becomes increasingly digitized, electrified, and resource-constrained, the sector faces unprecedented challenges. Three key imperatives have emerged: Modernize and expand infrastructure: Utilities must invest in a sustainable infrastructure that meets growing demand while incorporating green energy sources, reducing waste, and […]

Telcos often face challenges integrating data spread across multiple BSS domains. The siloed nature of these domains means data is typically not transferable or compatible with other domains. In this post, we explore specific challenges faced by Telcos and how we could design a scalable data integration solution on AWS using the concepts outlined in […]

The credit card dispute management process in banks is often manual, time-consuming, and because of legacy systems. This inefficient process leads to slow dispute resolution times, poor customer experiences, potential revenue losses and challenges in complying with regulations. Banks and customers face consequences from this problem; banks face operational inefficiencies, high costs, and customer dissatisfaction, […]

To plan wireless networks effectively, Communication Service Providers (CSPs) must analyze the viability of potential cell sites. This includes identifying potential facilities, obstructions, sources of interference, etc. Traditionally, capturing this information required a truck roll, which can be expensive, especially at scale. Harnessing the power of Machine Learning (ML) and computer vision to analyze site […]